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Found 4 papers, 1 papers with code
Unveiling Energy Efficiency in Deep Learning: Measurement, Prediction, and Scoring across Edge Devices
In this paper, we conduct a threefold study, including energy measurement, prediction, and efficiency scoring, with an objective to foster transparency in power and energy consumption within deep learning across various edge devices.
Software-Defined MIMO OFDM Joint Radar-Communication Platform with Fully Digital mmWave Architecture
Large-scale deployment of connected vehicles with cooperative sensing and maneuvering technologies increases the demand for vehicle-to-everything communication (V2X) band in 5. 9 GHz.
Optimal Precoder Design for MIMO-OFDM-based Joint Automotive Radar-Communication Networks
While multiple-input and multiple-output (MIMO) communication with multiple users enables independent data streaming for high throughput, MIMO radar processing provides high-resolution imaging that is crucial for safety-critical systems.
Cooperative Perception with Deep Reinforcement Learning for Connected Vehicles
In this paper, we present a cooperative perception scheme with deep reinforcement learning to enhance the detection accuracy for the surrounding objects.
